Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images

Nan Wu, Shinichiro Haruyama

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

Sound detection with optical means is an appealing research topic. Laser speckle is one effective method to detect the sound due to its sensitivity to tiny motion. The traditional laser-speckle sound recovery methods require a high-speed camera to record fast-moving speckle images and then recover the original sound signals from the motion information of the captured speckle images. In this manuscript, a laser microphone system is proposed to detect and regenerate the sound signal in real time. In the proposed system, only a small part of the imaging sensor is used to ensure a high sampling rate with a common industrial camera and reduce the computation time consumption. Meanwhile, optical flow algorithm is employed to obtain the motion information of captured speckle images and regenerate the sound. These two points allow us to capture images from the camera and regenerate sound in real time without storing any data into the computer, which greatly increases the speed of the system and achieves a microphone-like functions. Experiments are conducted to show that the proposed system can detect and regenerate the sound signal in real-time with a high quality.

本文言語English
ホスト出版物のタイトル2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728106601
DOI
出版ステータスPublished - 2019 5月
イベント28th Wireless and Optical Communications Conference, WOCC 2019 - Beijing, China
継続期間: 2019 5月 92019 5月 10

出版物シリーズ

名前2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings

Conference

Conference28th Wireless and Optical Communications Conference, WOCC 2019
国/地域China
CityBeijing
Period19/5/919/5/10

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システムおよび情報管理
  • ハードウェアとアーキテクチャ
  • 原子分子物理学および光学

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